What is Retrieval-Augmented Generation (RAG)?
What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is the process of enhancing the reference data used by language models (LLMs) through integrating them with tradition...
Blog Articles
LLM response logging for analytics
Why do we need LLM Observability? GenAI applications are great, they answer like how a human does. But how do you know if GPT isn’t being “too creative” to you when results from the LLM shows “Company...
Embeddings and Vector Databases
What are embeddings Embeddings are numerical representations of real-world objects, like text, images or audio. They are generated by machine learning models as vectors, an array of numbers, where the...
-
Jocelyn
on:
LLM response logging for analytics
- dliu on: Postman Collection for API Management Functionalit...
